Intersection of AI and arts, particularly music, is a significant study due to its impact on human creativity, with researchers focusing on creating music through language models. Skywork AI and Hong Kong University developed ChatMusician, outperforming GPT-4, but facing challenges in music variety and open-ended tasks. The open-source project aims to spur cooperation in this unexplored musical realm.
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The Intersection of AI and Music
The intersection of AI and the arts, especially music, has become an important field of study due to its deep implications for human creativity. Recent years have seen a change in several fields brought about by Large Language Models (LLMs) and their incredible ability to generate lengthy sequences. Researchers have investigated methods for generating music via language modeling.
Introducing ChatMusician
Researchers from Skywork AI PTE. LTD. and Hong Kong University of Science and Technology have developed ChatMusician, a text-based LLM, to address the unique obstacles in the musical domain when dealing with symbolic music. The model outperforms GPT-4 and baselines in several music-generating tasks, proving that it can produce well-structured, logical compositions in a wide variety of musical styles.
Music Metadata and Knowledge QA Pairings
Metadata like song titles, descriptions, albums, artists, lyrics, playlists, and more are crawled for 2 million music recordings on YouTube. The team also engaged a professional college music instructor to design MusicTheoryBenchmark using college-level course materials and previous exams to guarantee parity with human testing standards.
Open Source and Future Directions
The results show that LLMs aren’t very good at this benchmark, which points to the unexplored realm of music that needs attention. To encourage more cooperation in this area, the team has made all of the framework’s components open source.
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